UNIV - Postdoctoral Scholar - Department of PHS
MUSC Health
Summary
We are seeking a postdoctoral researcher in clinical AI and digital health to join our research group in the Division of Biomedical Informatics & AI, Department of Public Health Sciences, at the Medical University of South Carolina (MUSC) in Charleston. We turn real-world health data into tools that improve care for patients across the lifespan. The postdoc will work closely with Dr. Mamoun Mardini.
Job description
Our current work spans three connected areas: clinical language models (extracting clinical information from unstructured EHR notes with domain-specific transformer models and LLMs); AI risk prediction from real-world data (machine learning models built on EHR data for clinical decision support); and wearables and mobile sensing (passive sensing, ecological momentary assessment and digital biomarkers of physical and cognitive function).
The postdoc will contribute to ongoing lab projects and build an independent research line within the lab's clinical AI program.
Job Duties
- Acquire, curate and preprocess EHR, clinical notes, wearable and mobile data, and design, train and evaluate machine learning, deep learning and language models.
- Lead analyses and first-author manuscripts for peer-reviewed journals and conferences, and present findings at national meetings (e.g., AMIA, IEEE, GSA).
- Contribute to NIH grant proposals, including preliminary data and aims development.
- Work with collaborators to define clinically meaningful outcomes and validate models.
- Help mentor graduate and undergraduate students in the lab.
Preferred Qualifications
- PhD (or completion before the start date) in biomedical informatics, computer science/engineering, data science, biomedical engineering, biostatistics or a related field.
- Strong programming skills in Python; experience with PyTorch or similar deep learning frameworks.
- Hands-on experience with machine learning on real-world health data.
- A record of first-author publications and clear scientific writing.
- Experience with clinical NLP, transformer models or LLMs (fine-tuning, prompting, retrieval-augmented generation).
- Experience with EHR data, wearable sensor data or ecological momentary assessment.
- Familiarity with aging, frailty or perioperative research.
- Interest in pursuing a K award or other early-career funding.
Requirements
- PhD (or completion before the start date) in biomedical informatics, computer science/engineering, data science, biomedical engineering, biostatistics or a related field
- Strong programming skills in Python
- Experience with PyTorch or similar deep learning frameworks
- Hands-on experience with machine learning on real-world health data
- A record of first-author publications and clear scientific writing
- Experience with clinical NLP, transformer models or LLMs (fine-tuning, prompting, retrieval-augmented generation)
- Experience with EHR data, wearable sensor data or ecological momentary assessment
- Familiarity with aging, frailty or perioperative research
- Interest in pursuing a K award or other early-career funding
Company overview
MUSC Health is the healthcare system of the Medical University of South Carolina, serving as the state's premier academic medical center and comprehensive healthcare provider. Founded in 1824 and headquartered in Charleston, South Carolina, MUSC Health operates 14 hospitals with approximately 2,500 beds and has five additional hospital locations in development. The organization provides patient care through more than 350 telehealth sites and nearly 750 care locations across all regions of South Carolina, serving 46 counties throughout the state. For 11 consecutive years, U.S. News & World Report has ranked MUSC Health as the number one hospital in South Carolina, reflecting its commitment to clinical excellence and patient safety. As an integrated academic health system, MUSC Health combines clinical care with medical education and research, training more than 900 residents and fellows annually while conducting groundbreaking research with $360 million in research funding and 1,268 active clinical trials. The organization employs over 10,000 team members and handles approximately 3.21 million patient encounters each year, delivering specialized services in cancer care, cardiac services, digestive health, women's health, and numerous other medical specialties through its Hollings Cancer Center and other specialized institutes.